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Recommendations on Off-Label Drug Use in Pediatric Guidelines.

ABSTRACT: Objective: To systematically analyze the supporting evidence, drug information, and the type of off-label drug use in recommendations on off-label drug use in pediatric guidelines. Methods: A cross-sectional study was performed by systematic search through MEDLINE (via PubMed) and Embase databases to identify literature published from 1 January 2018, to 31 December 2020. Only pediatric clinical practice guidelines that included recommendations on off-label use of drugs were included. We present descriptive information on the sources of the included guidelines, country, publication year, evidence grading system used, details on the types of off-label drug use, and the types of studies used as references to support the recommendations. Results: A total of 66 pediatric guidelines with 605 recommendations were included. Eighty-seven (14.4%) recommendations did not cite any references; and the remaining 518 recommendations were supported by 2,240 references (mean 4.3 references/recommendation). The most common types of studies cited were pediatric RCTs (n = 314, 14.0%), pediatric case series studies (n = 260, 11.6%), and reviews (n = 255, 11.4%). Twenty-one percent (n = 470) of the references were studies on adults. One hundred and forty (23.1%) recommendations were graded using the Grading of Recommendations, Assessments, Development, and Evaluations (GRADE) system, of which 37 (26.4%) were graded as strong but supported with only C or D level of evidence. The most commonly reported type of information in the recommendations was indication (n = 499, 82.5%). The most commonly addressed type of off-label drug use in the 523 positive recommendations was unapproved population (n = 255, 48.8%). Sixty-nine (11.4%) recommendations explicitly reported the drug use as off-label. Conclusion: Children may be exposed to medical risks due to gaps in reporting and evidence of off-label drug use recommendations in pediatric guidelines.

SUBMITTER: Meng M

PROVIDER: S-EPMC9218488 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:ObjectiveTo identify the number of drug-disease and drug-drug interactions for exemplar index conditions within National Institute of Health and Care Excellence (NICE) clinical guidelines.DesignSystematic identification, quantification, and classification of potentially serious drug-disease and drug-drug interactions for drugs recommended by NICE clinical guidelines for type 2 diabetes, heart failure, and depression in relation to 11 other common conditions and drugs recommended by NICE guidelines for those conditions.SettingNICE clinical guidelines for type 2 diabetes, heart failure, and depressionMain outcome measuresPotentially serious drug-disease and drug-drug interactions.ResultsFollowing recommendations for prescription in 12 national clinical guidelines would result in several potentially serious drug interactions. There were 32 potentially serious drug-disease interactions between drugs recommended in the guideline for type 2 diabetes and the 11 other conditions compared with six for drugs recommended in the guideline for depression and 10 for drugs recommended in the guideline for heart failure. Of these drug-disease interactions, 27 (84%) in the type 2 diabetes guideline and all of those in the two other guidelines were between the recommended drug and chronic kidney disease. More potentially serious drug-drug interactions were identified between drugs recommended by guidelines for each of the three index conditions and drugs recommended by the guidelines for the 11 other conditions: 133 drug-drug interactions for drugs recommended in the type 2 diabetes guideline, 89 for depression, and 111 for heart failure. Few of these drug-disease or drug-drug interactions were highlighted in the guidelines for the three index conditions.ConclusionsDrug-disease interactions were relatively uncommon with the exception of interactions when a patient also has chronic kidney disease. Guideline developers could consider a more systematic approach regarding the potential for drug-disease interactions, based on epidemiological knowledge of the comorbidities of people with the disease the guideline is focused on, and should particularly consider whether chronic kidney disease is common in the target population. In contrast, potentially serious drug-drug interactions between recommended drugs for different conditions were common. The extensive number of potentially serious interactions requires innovative interactive approaches to the production and dissemination of guidelines to allow clinicians and patients with multimorbidity to make informed decisions about drug selection.

Project description:BackgroundOff-label drug use is widespread in pediatric drug treatment, and the implementation of guidelines on this topic remains challenging. The objective of this study was to evaluate current practice and awareness of healthcare professionals towards pediatric off-label drug use, as well as the barriers to guideline implementation among pediatric healthcare professionals in Shanghai, China.MethodsA validated questionnaire was issued to representatives of pediatricians, pharmacists, nurses and administrators from hospitals with pediatric qualification in Shanghai.ResultsA total of 679 completed questionnaires from 69 hospitals were included in the analysis. Nearly half (47.9%) of the pediatricians acknowledged that they had prescribed off-label drugs. Most (88.4%) of the pharmacists acknowledged that they had dispensed off-label medicines. The main reason for off-label prescribing was the lack of pediatric dosage information. The most common category of off-label prescribing in children was dosage. Nearly half (42.0%) of the participating hospitals had developed internal protocols for off-label drug use. However, approximately half of the respondents reported that they did not adhere to the guidance and that it had barriers to implementation. Most respondents (84.5%) declared that they were familiar with the term "off-label drug use". However, the awareness rate of the Chinese Expert Consensus of Pediatric Off-Label Drug Use was low (45.7%). More than half (55.4%) of the respondents declared that they did not adhere to the process proposed in the consensus and that barriers existed for its utilization.ConclusionsPediatric off-label drug use is widespread in Shanghai, China, and barriers exist to the implementation of the guideline. A legally recognized national guideline with a broad scope of application for off-label drug use is urgently needed; at the same time, more education and training on off-label drug use should be provided to targeted healthcare professionals.

Project description:Background and objectiveMechanistic static and dynamic physiologically based pharmacokinetic models are used in clinical drug development to assess the risk of drug-drug interactions (DDIs). Currently, the use of mechanistic static models is restricted to screening DDI risk for an investigational drug, while dynamic physiologically based pharmacokinetic models are used for quantitative predictions of DDIs to support regulatory filing. As physiologically based pharmacokinetic model development by sponsors as well as a review of models by regulators require considerable resources, we explored the possibility of using mechanistic static models to support regulatory filing, using representative cases of successful physiologically based pharmacokinetic submissions to the US Food and Drug Administration under different classes of applications.MethodsDrug-drug interaction predictions with mechanistic static models were done for representative cases in the different classes of applications using the same data and modelling workflow as described in the Food and Drug Administration clinical pharmacology reviews. We investigated the hypothesis that the use of unbound average steady-state concentrations of modulators as driver concentrations in the mechanistic static models should lead to the same conclusions as those from physiologically based pharmacokinetic modelling for non-dynamic measures of DDI risk assessment such as the area under the plasma concentration-time curve ratio, provided the same input data are employed for the interacting drugs.ResultsDrug-drug interaction predictions of area under the plasma concentration-time curve ratios using mechanistic static models were mostly comparable to those reported in the Food and Drug Administration reviews using physiologically based pharmacokinetic models for all representative cases in the different classes of applications.ConclusionsThe results reported in this study should encourage the use of models that best fit an intended purpose, limiting the use of physiologically based pharmacokinetic models to those applications that leverage its unique strengths, such as what-if scenario testing to understand the effect of dose staggering, evaluating the role of uptake and efflux transporters, extrapolating DDI effects from studied to unstudied populations, or assessing the impact of DDIs on the exposure of a victim drug with concurrent mechanisms. With this first step, we hope to trigger a scientific discussion on the value of a routine comparison of the two methods for regulatory submissions to potentially create a best practice that could help identify examples where the use of dynamic changes in modulator concentrations could make a difference to DDI risk assessment.

Project description:IntroductionClinical practice guidelines(CPGs) are important tools for medical decision-making. Given the high prevalence and financial burden associated with tobacco use disorder(TUD), it is critical that recommendations within CPGs are based on robust evidence. Systematic reviews(SRs) are considered the highest level of evidence, thus, we evaluated the quality of SRs underpinning CPG recommendations for TUD.MethodsWe used PubMed to search for CPGs relating to TUD published between January 1, 2010 and May 21, 2021. SRs were extracted from CPG references and evaluated using Preferred Reporting Items for Systematic Reviews and Meta-Analyses(PRISMA) and A MeaSurement Tool to Assess Systematic Reviews(AMSTAR-2) tools. We then compared SRs conducted by the Cochrane Collaboration with non-Cochrane SRs using a Mann-Whitney U test and determined associations between PRISMA and AMSTAR-2 extracted characteristics using multiple regression.ResultsOur search generated 10 CPGs with 98 SRs extracted. Mean PRISMA completion was 74.7%(SD = 16.7) and mean AMSTAR-2 completion was 53.8%(SD = 22.0) across all guidelines. Cochrane SRs were more complete than non-Cochrane studies in the PRISMA and AMSTAR-2 assessments. The regression model showed a statistically significant association between PRISMA completion and AMSTAR-2 rating, with those classified as "low" or "moderate" quality having higher PRISMA completion than those with "critically low" ratings.ConclusionWe found substandard adherence to PRISMA and AMSTAR-2 checklists across SRs cited in TUD CPGs. A lack of recent SRs in CPGs could lead to outdated recommendations. Therefore, frequent guideline updates with recently published evidence may ensure more accurate clinical recommendations and improve patient care.ImplicationsSystematic reviews used to underpin clinical practice guideline recommendations influence treatment decisions and, ultimately, patient outcomes. We found that many systematic reviews underpinning tobacco use disorder guideline recommendations were out of date and unsatisfactory in reporting and quality. Thus, including newer systematic reviews containing more recently conducted trials and better reporting could alter recommendations and improve the rate of successful tobacco cessation attempts.

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Recommendations on Off-Label Drug Use in Pediatric Guidelines.

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